Norwegian version
Stefano Nichele

Stefano Nichele

About

Research Interests:
- Biologically-Inspired Artificial Intelligence
- Artificial Life and Complex Systems
- Evo-Devo and Cellular Automata
- Evolutionary Robotics
- Biological and Artificial Neural Networks
- Computational Neuroscience

Living Technology Lab: visit http://www.nichele.eu/lab.html

Short CV
2020 - now: Adjunct Research Scientist, Simula Metropolitan, Oslo, Norway
2017 - now: Associate Professor, OsloMet (formerly HiOA), Oslo, Norway
2014 - 2017: Researcher, NTNU, Trondheim, Norway
2016: Visiting Researcher at Robotics, Evolution and Art Lab (REAL), ITU, Copenhagen, Denmark
2010 - 2014: PhD in Computer Science, NTNU, Trondheim, Norway
2009: MSc in Computer Science, Univerity of Insubria, Varese, Italy

Updated info on projects: http://www.nichele.eu/

Research projects

  • AI Mind

    The goal of the research is to reduce the burden of dementia by developing novel, AI-based tools.

  • FeLT- Futures of Living Technologies

    From a perspective of ecological crisis, FeLT- Futures of Living Technologies, engages in the relations and intersections that occur between human beings, living environments and machines, relations on the edge of how we experience aliveness today.

  • Hybrid Deep Learning Cellular Automata Reservoir (DeepCA)

    DeepCA is a long-term time horizon project seeking the integration of biological and artificial intelligence.

  • Self-Organizing Computational substRATES (SOCRATES)

    A long-term time horizon project seeking radical breakthroughs toward efficient and powerful data analysis available everywhere, from the simplest sensor node to the most complex supercomputer.

Scientific publications

Nadizar, Giorgia; Medvet, Eric; Pellegrino, Felice Andrea; Zullich, Marco; Nichele, Stefano (2021). On the effects of pruning on evolved neural controllers for soft robots. Chicano, Francisco (Ed.). GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference Companion. NEWK. p. 1744-1752. Association for Computing Machinery (ACM).
https://dl.acm.org/doi/pdf/10.1145/3449726.3463161

Talamini, Jacopo; Medvet, Eric; Nichele, Stefano (2021). Criticality-Driven Evolution of Adaptable Morphologies of Voxel-Based Soft-Robots. Frontiers in Robotics and AI . Vol. 8.
https://www.frontiersin.org/articles/10.3389/frobt...

Heiney, Kristine; Valderhaug, Vibeke Devold; Huse Ramstad, Ola; Sandvig, Ioanna; Sandvig, Axel; Nichele, Stefano (2021). Hallmarks of Criticality in Neuronal Networks Depend on Cell Type and the Temporal Resolution of Neuronal Avalanches. International Journal of Unconventional Computing . Vol. 16.
https://www.oldcitypublishing.com/journals/ijuc-ho...

Valderhaug, Vibeke Devold; Heiney, Kristine; Huse Ramstad, Ola; Bråthen, Geir; Kuan, Wei-Li; Nichele, Stefano; Sandvig, Axel; Sandvig, Ioanna (2021). Early functional changes associated with alpha-synuclein proteinopathy in engineered human neural networks. American Journal of Physiology - Cell Physiology . Vol. 320.

Heiney, Kristine; Huse Ramstad, Ola; Fiskum, Vegard; Christiansen, Nicholas; Sandvig, Axel; Nichele, Stefano; Sandvig, Ioanna (2021). Criticality, connectivity, and neural disorder: A multifaceted approach to neural computation. Frontiers in Computational Neuroscience . Vol. 15:611183.
https://hdl.handle.net/11250/2728005

Fladby, Torgeir; Haugerud, Hårek; Nichele, Stefano; Begnum, Kyrre; Yazidi, Anis (2020). Evading a Machine Learning-based Intrusion Detection System through Adversarial Perturbations. NN, NN (Ed.). RACS '20: Proceedings of the International Conference on Research in Adaptive and Convergent Systems. Research-article. p. 161-166. Association for Computing Machinery (ACM).
https://hdl.handle.net/11250/2729788

Zhang, Jianhua; Yin, Zhong; Chen, Peng; Nichele, Stefano (2020). Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review. Information Fusion . Vol. 59.

Pontes-Filho, Sidney; Lind, Pedro; Yazidi, Anis; Zhang, Jianhua; Hammer, Hugo Lewi; Mello, Gustavo; Sandvig, Ioanna; Tufte, Gunnar; Nichele, Stefano (2020). EvoDynamic: A Framework for the Evolution of Generally Represented Dynamical Systems and Its Application to Criticality. Castillo, Pedro A.; Laredo, Juan Luis Jiménez; de Vega, Francisco Fernández (Ed.). Applications of Evolutionary Computation. Mangler. p. 133-148. Springer.
https://hdl.handle.net/11250/2724664

Pontes-Filho, Sidney; Lind, Pedro; Yazidi, Anis; Zhang, Jianhua; Hammer, Hugo Lewi; Mello, Gustavo; Sandvig, Ioanna; Tufte, Gunnar; Nichele, Stefano (2020). A neuro-inspired general framework for the evolution of stochastic dynamical systems: Cellular automata, random Boolean networks and echo state networks towards criticality. Cognitive Neurodynamics .
https://hdl.handle.net/11250/2657791

Valderhaug, Vibeke Devold; Heiney, Kristine; Huse Ramstad, Ola; Bråthen, Geir; Kuan, Wei-Li; Nichele, Stefano; Sandvig, Axel; Sandvig, Ioanna (2020). Criticality as a measure of developing proteinopathy in engineered human neural networks. 22 p. BioRxiv.
https://hdl.handle.net/11250/2735243





These publications are obtained from Cristin. The list may be incomplete